OpenML
Supervised Classification on sleuth_ex1605

Supervised Classification on sleuth_ex1605

Task 4326 Supervised Classification sleuth_ex1605 211 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7579, kappa: 0.5161, kb_relative_information_score: 0.4251, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.5, weighted_recall: 0.7581, number_of_instances: 620, precision: 0.7588, predictive_accuracy: 0.7581, prior_entropy: 1, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.7944, scimark_benchmark: 931.1106, unweighted_recall: 0.7581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.7645, kappa: 0.529, kb_relative_information_score: 0.4449, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.5, weighted_recall: 0.7645, number_of_instances: 620, precision: 0.7646, predictive_accuracy: 0.7645, prior_entropy: 1, relative_absolute_error: 0.5733, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8098, scimark_benchmark: 979.7764, unweighted_recall: 0.7645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.7416, kappa: 0.5032, kb_relative_information_score: 235.4786, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7977, predictive_accuracy: 0.7516, prior_entropy: 1, recall: 0.7516, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8573, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.7645, kappa: 0.529, kb_relative_information_score: 249.8298, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7646, predictive_accuracy: 0.7645, prior_entropy: 1, recall: 0.7645, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8225, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7693, kappa: 0.5387, kb_relative_information_score: 299.4636, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7694, predictive_accuracy: 0.7694, prior_entropy: 1, recall: 0.7694, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.8869, scimark_benchmark: 934.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.4577, kappa: -0.0097, kb_relative_information_score: -6, mean_absolute_error: 0.5048, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.4933, predictive_accuracy: 0.4952, prior_entropy: 1, recall: 0.4952, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7105, root_relative_squared_error: 1.421, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.775, kappa: 0.5645, kb_relative_information_score: 254.8108, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.8238, predictive_accuracy: 0.7823, prior_entropy: 1, recall: 0.7823, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8288, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.753, kappa: 0.5065, kb_relative_information_score: 233.9123, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.754, predictive_accuracy: 0.7532, prior_entropy: 1, recall: 0.7532, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8183, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.7839, kappa: 0.5677, kb_relative_information_score: 250.9887, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.784, predictive_accuracy: 0.7839, prior_entropy: 1, recall: 0.7839, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7786, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.7005, kappa: 0.4032, kb_relative_information_score: 190.597, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7045, predictive_accuracy: 0.7016, prior_entropy: 1, recall: 0.7016, relative_absolute_error: 0.7121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9391, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.4577, kappa: -0.0097, kb_relative_information_score: -6, mean_absolute_error: 0.5048, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.4933, predictive_accuracy: 0.4952, prior_entropy: 1, recall: 0.4952, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7105, root_relative_squared_error: 1.421, scimark_benchmark: 944.1783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.4577, kappa: -0.0097, kb_relative_information_score: -6, mean_absolute_error: 0.5048, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.4933, predictive_accuracy: 0.4952, prior_entropy: 1, recall: 0.4952, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7105, root_relative_squared_error: 1.421, scimark_benchmark: 944.1783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.775, kappa: 0.5645, kb_relative_information_score: 254.8108, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.8238, predictive_accuracy: 0.7823, prior_entropy: 1, recall: 0.7823, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8288, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7579, kappa: 0.5161, kb_relative_information_score: 263.5447, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7588, predictive_accuracy: 0.7581, prior_entropy: 1, recall: 0.7581, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.7944, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.7416, kappa: 0.5032, kb_relative_information_score: 235.4786, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7977, predictive_accuracy: 0.7516, prior_entropy: 1, recall: 0.7516, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8573, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.7645, kappa: 0.529, kb_relative_information_score: 249.8298, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7646, predictive_accuracy: 0.7645, prior_entropy: 1, recall: 0.7645, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8225, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7693, kappa: 0.5387, kb_relative_information_score: 299.4636, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7694, predictive_accuracy: 0.7694, prior_entropy: 1, recall: 0.7694, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.8869, scimark_benchmark: 936.2574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.4577, kappa: -0.0097, kb_relative_information_score: -6, mean_absolute_error: 0.5048, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.4933, predictive_accuracy: 0.4952, prior_entropy: 1, recall: 0.4952, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7105, root_relative_squared_error: 1.421, scimark_benchmark: 940.1221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.4577, kappa: -0.0097, kb_relative_information_score: -6, mean_absolute_error: 0.5048, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.4933, predictive_accuracy: 0.4952, prior_entropy: 1, recall: 0.4952, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7105, root_relative_squared_error: 1.421, scimark_benchmark: 926.5462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.775, kappa: 0.5645, kb_relative_information_score: 254.8108, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.8238, predictive_accuracy: 0.7823, prior_entropy: 1, recall: 0.7823, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8288, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.775, kappa: 0.5645, kb_relative_information_score: 254.8108, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.8238, predictive_accuracy: 0.7823, prior_entropy: 1, recall: 0.7823, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8288, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.753, kappa: 0.5065, kb_relative_information_score: 233.9123, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.754, predictive_accuracy: 0.7532, prior_entropy: 1, recall: 0.7532, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8183, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.775, kappa: 0.5645, kb_relative_information_score: 254.8108, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.8238, predictive_accuracy: 0.7823, prior_entropy: 1, recall: 0.7823, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8288, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.7005, kappa: 0.4032, kb_relative_information_score: 190.597, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7045, predictive_accuracy: 0.7016, prior_entropy: 1, recall: 0.7016, relative_absolute_error: 0.7121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9391, scimark_benchmark: 945.6228, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7579, kappa: 0.5161, kb_relative_information_score: 263.5447, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7588, predictive_accuracy: 0.7581, prior_entropy: 1, recall: 0.7581, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.7944, scimark_benchmark: 901.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7607, kappa: 0.5226, kb_relative_information_score: 233.6833, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7638, predictive_accuracy: 0.7613, prior_entropy: 1, recall: 0.7613, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.789, scimark_benchmark: 904.5548, usercpu_time_millis: 180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7704, kappa: 0.5419, kb_relative_information_score: 231.5625, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7735, predictive_accuracy: 0.771, prior_entropy: 1, recall: 0.771, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.7957, scimark_benchmark: 859.5223, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7557, kappa: 0.5129, kb_relative_information_score: 229.8566, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7598, predictive_accuracy: 0.7565, prior_entropy: 1, recall: 0.7565, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7967, scimark_benchmark: 903.179, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7626, kappa: 0.5258, kb_relative_information_score: 233.2929, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7641, predictive_accuracy: 0.7629, prior_entropy: 1, recall: 0.7629, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.7974, scimark_benchmark: 921.2615, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7558, kappa: 0.5129, kb_relative_information_score: 233.6334, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.759, predictive_accuracy: 0.7565, prior_entropy: 1, recall: 0.7565, relative_absolute_error: 0.6512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8038, scimark_benchmark: 914.3583, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7512, kappa: 0.5032, kb_relative_information_score: 294.1908, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7534, predictive_accuracy: 0.7516, prior_entropy: 1, recall: 0.7516, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.421, root_relative_squared_error: 0.842, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7512, kappa: 0.5032, kb_relative_information_score: 294.1908, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7534, predictive_accuracy: 0.7516, prior_entropy: 1, recall: 0.7516, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.421, root_relative_squared_error: 0.842, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7512, kappa: 0.5032, kb_relative_information_score: 294.1908, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7534, predictive_accuracy: 0.7516, prior_entropy: 1, recall: 0.7516, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.421, root_relative_squared_error: 0.842, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7512, kappa: 0.5032, kb_relative_information_score: 294.1908, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7534, predictive_accuracy: 0.7516, prior_entropy: 1, recall: 0.7516, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.421, root_relative_squared_error: 0.842, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7512, kappa: 0.5032, kb_relative_information_score: 294.1991, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7534, predictive_accuracy: 0.7516, prior_entropy: 1, recall: 0.7516, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8415, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4714, f_measure: 0.3929, kappa: -0.0323, kb_relative_information_score: -0.5018, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.4597, predictive_accuracy: 0.4839, prior_entropy: 1, recall: 0.4839, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7546, kappa: 0.5097, kb_relative_information_score: 316.5965, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7559, predictive_accuracy: 0.7548, prior_entropy: 1, recall: 0.7548, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.961, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.7643, kappa: 0.529, kb_relative_information_score: 329.1334, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7654, predictive_accuracy: 0.7645, prior_entropy: 1, recall: 0.7645, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9177, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7745, kappa: 0.5516, kb_relative_information_score: 340.9811, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7823, predictive_accuracy: 0.7758, prior_entropy: 1, recall: 0.7758, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8745, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.7579, kappa: 0.5161, kb_relative_information_score: 320.8174, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7588, predictive_accuracy: 0.7581, prior_entropy: 1, recall: 0.7581, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8826, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.775, kappa: 0.5645, kb_relative_information_score: 260.0964, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.8238, predictive_accuracy: 0.7823, prior_entropy: 1, recall: 0.7823, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8297, scimark_benchmark: 1325.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.775, kappa: 0.5645, kb_relative_information_score: 254.8108, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.8238, predictive_accuracy: 0.7823, prior_entropy: 1, recall: 0.7823, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8288, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.775, kappa: 0.5645, kb_relative_information_score: 254.8108, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.8238, predictive_accuracy: 0.7823, prior_entropy: 1, recall: 0.7823, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8288, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.775, kappa: 0.5645, kb_relative_information_score: 254.8108, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.8238, predictive_accuracy: 0.7823, prior_entropy: 1, recall: 0.7823, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8288, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.775, kappa: 0.5645, kb_relative_information_score: 254.8108, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.8238, predictive_accuracy: 0.7823, prior_entropy: 1, recall: 0.7823, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8288, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.7005, kappa: 0.4032, kb_relative_information_score: 190.597, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7045, predictive_accuracy: 0.7016, prior_entropy: 1, recall: 0.7016, relative_absolute_error: 0.7121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9391, scimark_benchmark: 1320.8283, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7579, kappa: 0.5161, kb_relative_information_score: 263.5447, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7588, predictive_accuracy: 0.7581, prior_entropy: 1, recall: 0.7581, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.7944, scimark_benchmark: 1320.8283, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.7645, kappa: 0.529, kb_relative_information_score: 249.8298, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7646, predictive_accuracy: 0.7645, prior_entropy: 1, recall: 0.7645, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8225, scimark_benchmark: 1346.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7531, kappa: 0.5097, kb_relative_information_score: 302.6077, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7622, predictive_accuracy: 0.7548, prior_entropy: 1, recall: 0.7548, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8823, scimark_benchmark: 1256.2802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7373, kappa: 0.4806, kb_relative_information_score: 248.6558, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7521, predictive_accuracy: 0.7403, prior_entropy: 1, recall: 0.7403, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9125, scimark_benchmark: 1364.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7693, kappa: 0.5387, kb_relative_information_score: 299.4636, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7694, predictive_accuracy: 0.7694, prior_entropy: 1, recall: 0.7694, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.8869, scimark_benchmark: 1325.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.758, kappa: 0.5161, kb_relative_information_score: 261.9713, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7582, predictive_accuracy: 0.7581, prior_entropy: 1, recall: 0.7581, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.7988, scimark_benchmark: 1324.5762, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.775, kappa: 0.5645, kb_relative_information_score: 260.0964, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.8238, predictive_accuracy: 0.7823, prior_entropy: 1, recall: 0.7823, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8297, scimark_benchmark: 1365.0842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.775, kappa: 0.5645, kb_relative_information_score: 254.8108, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.8238, predictive_accuracy: 0.7823, prior_entropy: 1, recall: 0.7823, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8288, scimark_benchmark: 1332.3382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.775, kappa: 0.5645, kb_relative_information_score: 254.8108, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.8238, predictive_accuracy: 0.7823, prior_entropy: 1, recall: 0.7823, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8288, scimark_benchmark: 1336.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.7005, kappa: 0.4032, kb_relative_information_score: 190.597, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.5, number_of_instances: 620, precision: 0.7045, predictive_accuracy: 0.7016, prior_entropy: 1, recall: 0.7016, relative_absolute_error: 0.7121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9391, scimark_benchmark: 1337.4384, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs